The use of these procedures and the integration of our databases and software with the client’s in-house data will yield considerable End User/Customer, Distribution, Corporate, Market, Product, Financial, and Industry intelligence. The interface of the client’s databases with national & international intelligence databases produces very powerful real world data and tools for planning purposes.

Data Mining Procedures:

Classification: This arranges the data into user groups, whereby one may get insight from common algorithms for decision trees, associative networks, Bayesian classification, neural networks, and similar processes.

Clustering: Algorithms which group associated intelligence into networks.

Regression: Functions which models the data to increase data reliability.